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  • For the purpose of studying the impact of the 12 August 2021 South Sandwich tsunami in several locations around the world, a high-resolution digital elevation model (DEM) of King Edward Cove, South Georgia Island (UK) has been built using three different types of data. They include: - The Global dataset 15 arcsec resolution GEBCO (2021) - The Global dataset 1 arcsec resolution SRTM (2013) - Digitized and georeferenced British Admiralty Nautical Chart 3587 – Harbours and Anchorages in South Georgia (Edition 2003) – Plan B: King Edward Cove. The data showing the highest resolution has been kept in priority. The compilation of data has been interpolated to a regular spatial resolution of 0.00009° (~6 m) between 36.5162736855°W and 36.4633943045801°W and 54.3061332112°S and 54.2693514649479°S using the kriging method. For more information about this method, see for example Oliver and Webster (1990). DOI: https://doi.org/10.21420/0MFZ-J006 Cite data as: Roger, J. (2022). Digital Elevation Model of King Edward Cove, South Georgia Island (UK) [Data set]. GNS Science. https://doi.org/10.21420/0MFZ-J006

  • For the purpose of studying the impact of the 10 February 2021 South Matthew Island tsunami in the southwest Pacific Ocean, a set of three digital elevation models (DEM) of Norfolk Island, Australia, including a high-resolution focus on Sydney Bay (on the south coast of the island) has been built using three different types of data. They include: - The global dataset 15 arcsec resolution GEBCO (2020); - The global dataset 1 arcsec resolution SRTM (2013); - Norfolk Island LiDAR 0.57m DEM (Gallant and Petheram, 2020); - Digitized and georeferenced nautical chart of Norfolk Island (Australian Hydrographic Office, 2019) and related charts (Australian Hydrographic Office, 2009a, b, c, d). The data showing the highest resolution has been kept in priority. The compilation of data has been interpolated to a regular spatial resolution of 0.005° (~500 m) for the coarser grid, 0.0005° (~50 m) for the medium grid, and to 0.0001° (~10 m) for the grid over Sydney Bay. The data interpolation processes have done using the kriging method. For more information about this method, see for example Oliver and Webster (1990). DOI: https://doi.org/10.21420/H889-5393 Cite when using the DEMs: Roger, J. (2022). Digital Elevation Model of Norfolk Island and Sydney Bay, Australia. [Data set] GNS Science. Accessed on [insert date]. https://doi.org/10.21420/H889-5393.

  • For the purpose of studying the impact of the 5 March 2021 Kermadec tsunami in Tutukaka Harbor, Whangarei, New Zealand, and its neighbourhood, a high-resolution digital elevation model (DEM) of Tutukaka Harbor has been built using two different types of data (Roger, 2022). These are: - Digitized and georeferenced British Admiralty Nautical Chart (Cape Brett to Paepae-o-Tu / Bream Tail, 1:90,000 – Id: NZ300521 and Tutukaka Harbour, 1:12,000 - Id: NZ552121) - The New Zealand 8 m DEM (LINZ, 2012) for the land part The compilation of data has been interpolated to a regular spatial resolution of 0.00009° (~10m) between 174.5233364°W and 174.5797705°W and -35.6252705°S and -35.5979928°S using the krigging method. For more information about this method, see for example Oliver and Webster (1990). DOI: https://doi.org/10.21420/AQBF-Q453 Cite when using the DEMs: Roger, J. (2022). Digital Elevation Model of Tutukaka Harbor and neighbourhood, Whangarei District, New Zealand [Data set]. GNS Science. https://doi.org/10.21420/AQBF-Q453

  • • A collection of numerical model builds, scripts used in the building of the models, model outputs, and a database of measurements/observations/locations of groundwater levels, flows and chemistry data in New Zealand. These models, data and scripts can be deployed to help answer land and water management decisions across NZ. • Processed measurements of groundwater flows, levels, chemistry • Model files • Codes for processing model files for building models, history matching and uncertainty quantification. • Data and models are built for aquifer systems throughout New Zealand. Temporal extent: 1990- present DOI: https://doi.org/10.21420/2E7J-ZA37 Cite model as: GNS Science. (1990). Groundwater flow and transport models. GNS Science. https://doi.org/10.21420/2E7J-ZA37

  • • A collection of numerical model builds, scripts used in the building of the models, model outputs, and a database of measurements/observations/locations of groundwater levels, flows and chemistry data in New Zealand. These models, data and scripts can be deployed to help answer land and water management decisions across NZ. • Processed measurements of groundwater flows, levels, chemistry • Model files • Codes for processing model files for building models, history matching and uncertainty quantification. • Data and models are built for aquifer systems throughout New Zealand. Temporal extent: 1990- present DOI: https://doi.org/10.21420/7A4X-FZ56 Cite model as: GNS Science. (2012). Upper Motueka FEFLOW model. GNS Science. https://doi.org/10.21420/7A4X-FZ56